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您好,请问usrnet在SR inference的时候除了对退化核(如k1-k12)和噪声系数(如0-0.1)进行排列组合的尝试,还有什么更快或者更自动化的方法对退化核和噪声系数的组合进行筛选,从而针对该测试数据集(如一段视频等)达到最好的视觉效果?您的看法或者建议?
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老哥你是怎么测试的?默认输入的高清图片吗?但是如果输入的是模糊图片如何处理?
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您好,请问usrnet在SR inference的时候除了对退化核(如k1-k12)和噪声系数(如0-0.1)进行排列组合的尝试,还有什么更快或者更自动化的方法对退化核和噪声系数的组合进行筛选,从而针对该测试数据集(如一段视频等)达到最好的视觉效果?您的看法或者建议?
The text was updated successfully, but these errors were encountered: